Cloud cost management, also referred to as cloud cost optimization, is the process of managing and controlling a company’s spending on cloud services. This can be achieved through a variety of methods, such as usage monitoring, resource optimization, and cost forecasting. The first step in managing cloud costs is to understand how cloud resources are being used. This involves tracking the usage of each service and identifying any trends or patterns.

With notable advancements in Artificial Intelligence (AI) within cybersecurity, the prospect of a fully automated Security Operations Center (SOC) driven by AI is no longer a distant notion. This paradigm shift not only promises accelerated incident response times and a limited blast radius but also transforms the perception of cybersecurity from a deterrent to that of an innovation enabler.

Recently, I stumbled upon an eye-opening NPR podcast that delved into the lingering use of pagers in healthcare—a seemingly outdated technology that continues to drive communication in hospitals. As I listened through the debate around its persistence, discussing challenges and unexpected benefits, it prompted reflections on facilitating a seamless shift to secure phone-app-based texting, acknowledging the considerable advantages it brings.

Monitoring tools, also known as observability solutions, are designed to track the status of critical IT applications, networks, infrastructures, websites and more. The best IT monitoring tools quickly detect problems in resources and alert the right respondents to resolve critical issues. Response teams use observability solutions to gain real-time insights into resource availability, stability and performance.

Most software engineers know that they are typically tasked with on-call shifts, but new software engineers entering the field may be asking themselves – What do I even do if I get scheduled for an on-call shift? This is a common question that often doesn’t get answered until that first on-call shift, and unfortunately that can be overwhelming for a young professional who is nervous about their first on-call shift, let alone their first incident.

Large Language Models (LLMs) are advanced artificial intelligence models designed to comprehend and generate human-like language. With millions or even billions of [parameters, these models, like GPT-3, excel in natural language processing, understanding context, and generating coherent and contextually relevant text across various applications.

Amazon Web Services (AWS) provides a range of managed database services that provide multiple database technologies to handle various use cases. They are designed to free businesses from tasks like database administration, maintenance, upgrades, and backup. AWS databases come in several types to cater to different business needs.